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Estimation of ion competition via correlated responsivity offset in linear ion trap mass spectrometry analysis: theory and practical use in the analysis of cyanobacterial hepatotoxin microcystin-LR in extracts of food additives
J. Urban, P. Hrouzek, D. Stys, H. Martens,
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Free Medical Journals
od 2013
Hindawi Publishing Open Access
od 2001-01-01
PubMed Central
od 2013
Europe PubMed Central
od 2013
ProQuest Central
od 2013
Open Access Digital Library
od 2001-01-01
Open Access Digital Library
od 2012-12-04
Open Access Digital Library
od 2013-01-01
CINAHL Plus with Full Text (EBSCOhost)
od 2013-01-01
Medline Complete (EBSCOhost)
od 2013-01-01
Health & Medicine (ProQuest)
od 2013
ROAD: Directory of Open Access Scholarly Resources
od 2013
PubMed
23586036
DOI
10.1155/2013/414631
Knihovny.cz E-zdroje
- MeSH
- cyklické peptidy analýza MeSH
- hmotnostní spektrometrie * MeSH
- ionty chemie izolace a purifikace MeSH
- lidé MeSH
- mikrocystiny izolace a purifikace MeSH
- potravinářské přísady analýza MeSH
- regresní analýza MeSH
- sinice izolace a purifikace MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Responsivity is a conversion qualification of a measurement device given by the functional dependence between the input and output quantities. A concentration-response-dependent calibration curve represents the most simple experiment for the measurement of responsivity in mass spectrometry. The cyanobacterial hepatotoxin microcystin-LR content in complex biological matrices of food additives was chosen as a model example of a typical problem. The calibration curves for pure microcystin and its mixtures with extracts of green alga and fish meat were reconstructed from the series of measurement. A novel approach for the quantitative estimation of ion competition in ESI is proposed in this paper. We define the correlated responsivity offset in the intensity values using the approximation of minimal correlation given by the matrix to the target mass values of the analyte. The estimation of the matrix influence enables the approximation of the position of a priori unknown responsivity and was easily evaluated using a simple algorithm. The method itself is directly derived from the basic attributes of the theory of measurements. There is sufficient agreement between the theoretical and experimental values. However, some theoretical issues are discussed to avoid misinterpretations and excessive expectations.
Citace poskytuje Crossref.org
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